Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/13880#discussion_r68853188
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala
---
@@ -171,14 +171,6 @@ case class InsertIntoHiveTable(
val partitionColumns =
fileSinkConf.getTableInfo.getProperties.getProperty("partition_columns")
val partitionColumnNames =
Option(partitionColumns).map(_.split("/")).getOrElse(Array.empty)
- // By this time, the partition map must match the table's partition
columns
- if (partitionColumnNames.toSet != partition.keySet) {
- throw new SparkException(
- s"""Requested partitioning does not match the ${table.tableName}
table:
- |Requested partitions: ${partition.keys.mkString(",")}
- |Table partitions:
${table.partitionKeys.map(_.name).mkString(",")}""".stripMargin)
- }
-
--- End diff --
If a user is using SQL, he/she can specify the partition columns. So, this
check is still useful (considering that we do not allow to use
DataFrameWriter's partitionBy and insertInto together)?
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